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IBM Watson Research Center
  Mia Stern


Researcher
Contact: mia_stern@us.ibm.com

Research Interests:
Intelligent educational systems
User modeling
Machine learning
Personalization

Mia Stern started in the Collaborative User Experience (CUE) Research Group in June 2001 as a Post Doc. Mia specializes in adaptive and individualized systems, with a focus on applying machine learning to user modeling.  She is interested in building systems that can learn from users and with that knowledge better help them with their tasks.  To this end, while at the University of Massachusetts at Amherst, she built an intelligent Web-based lecture system that could learn with a high degree of accuracy a student's learning style preferences.  Mia is currently working on applying user modeling to various tasks users perform with their email and with other collaborative experiences. For example, she is currently working on identifying types of email, such as calendar items, to do items, and messages that need replies. To this end, Mia has built a date and time extractor for email that can be used to make smart calendar entries and also lets users search for dates in their email.

Mia holds a B.A. in Cognitive Science and Computer Science: Mathematics from the University of Rochester and an M.S. and a PhD. in Computer Science from the University of Massachusetts at Amherst.


Projects:
Reinventing Email

Publications:
Derek Lam, Steven L. Rohall, Chris Schmandt, Mia K. Stern, "Exploiting E-mail Structure to Improve Summarization", poster presented at CSCW, 2002.

Derek Lam, Steven L. Rohall, Chris Schmandt, Mia K. Stern, "Exploiting E-mail Structure to Improve Summarization", A Collaborative User Experience Technical Report (TR2002-02), 2002.

Mia K. Stern and Beverly Park Woolf, "Adaptive Content in an Online Lecture System," in the Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-based Systems, 2000.

Beverly Park Woolf, Joseph Beck, Christopher Eliot, and Mia Stern, "Growth and Maturity of Intelligent Tutoring Systems: A Status Report," in Smart Machines in Education, P. Feltovich and K. Forbus, Editors, AAAI Press.

Joseph E. Beck and Mia K. Stern, "Bringing back the AI to AI & ED," in the Proceedings of Artificial Intelligence in Education, 1999.

Mia K. Stern and Beverly Park Woolf, "Curriculum Sequencing in a Web-Based Tutor," in the Proceedings of Intelligent Tutoring Systems, San Antonio, Texas, 1998.

Mia Stern, Beverly Park Woolf, and James F. Kurose, "Intelligence on the Web?", in the Proceedings of Artificial Intelligence in Education, 1997.

Joseph Beck, Mia Stern, and Beverly Park Woolf, "Using the Student Model to Control Problem Difficulty," in the Proceedings of User Modeling, 1997.

Joseph Beck, Mia Stern, and Erik Haugsjaa, "Applications of AI in Education," ACM Crossroads, September, 1996.

Mia Stern, Joseph Beck, and Beverly Park Woolf, "Adaptation of Presentation and Feedback in an Intelligent Mathematics Tutor," Proceedings of the Third International Conference on Intelligent Tutoring Systems, 1996.

  

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